Bayelsa state field work analysis
Objectives
- Exploratory analysis of field data collection including settlements, health facilities and point of interests.
Naming Settlement extents
- This section summaries unnamed settlement extents based on building counts. It does not includes named settlement extent prior to filed work
Naming Settlement extents by LGA
- This section summaries unnamed settlement extent by LGA and building counts.It does not includes named settlement extent prior to filed work
| lga | <=2 | 2-5 | 5-10 | 10-25 | 25-50 | 50>= |
|---|---|---|---|---|---|---|
| Brass | 57 | 48 | 25 | 28 | 16 | 14 |
| Ekeremor | 227 | 99 | 53 | 40 | 10 | 23 |
| Kolokuma Opokuma | 52 | 53 | 25 | 16 | 4 | 2 |
| Nembe | 40 | 19 | 18 | 24 | 13 | 11 |
| Ogbia | 91 | 40 | 8 | 19 | 8 | 8 |
| Sagbama | 113 | 69 | 44 | 27 | 11 | 14 |
| Southern Ijaw | 174 | 105 | 64 | 66 | 18 | 27 |
| Yenegoa | 129 | 53 | 26 | 12 | 7 | 12 |
Settlements
Field collected setlement locations:
- The map below shows field collected settlement locations. Settlement locations are color coded based on ward attribute. Click on boundaries to see ward and lga names. Click on points to see settlement names.
Summary
Number of settlement visited
- The figures below summaries the number of settlement visited to the date that the data was processed.
Number of settlement visited by LGA
- The figure below summaries the number of settlement visited to the date that the data was processed at LGA level
| LGA | collected_from_list | collected_from_list_prc | not_collected_from_list | not_collected_from_list_prc | collected_other |
|---|---|---|---|---|---|
| Brass | 79 | 24.23 | 247 | 75.77 | 7 |
| Ekeremor | 26 | 6.42 | 379 | 93.58 | 1 |
| Kolokuma Opokuma | 45 | 30.41 | 103 | 69.59 | 4 |
| Nembe | 49 | 14.76 | 283 | 85.24 | 0 |
| Ogbia | 88 | 27.67 | 230 | 72.33 | 8 |
| Sagbama | 78 | 16.39 | 398 | 83.61 | 1 |
| Southern Ijaw | 58 | 7.95 | 672 | 92.05 | 4 |
| Yenegoa | 123 | 37.85 | 202 | 62.15 | 1 |
Total count of submissions by date
- The figure below summaries the number of settlement points collected by date
Total count of submissions at LGA level by date
- The figure below summaries the number of settlement points collected by date at LGA level
| lga | 2025-08-22 | 2025-08-23 | 2025-08-24 | 2025-08-25 | 2025-08-26 | 2025-08-27 |
|---|---|---|---|---|---|---|
| Brass | NA | NA | NA | 26 | 30 | 38 |
| Ekeremor | 8 | 11 | 2 | NA | 8 | |
| Kolokuma Opokuma | 20 | 14 | 15 | NA | NA | |
| Nembe | 8 | 42 | NA | 3 | NA | NA |
| Ogbia | NA | 37 | 8 | 35 | 16 | 1 |
| Sagbama | 18 | NA | 40 | 6 | 20 | |
| Southern Ijaw | 9 | 10 | 22 | 19 | 8 | |
| Yenegoa | 13 | 22 | NA | 47 | 28 | 22 |
Total count of submissions at cluster level by date
- The below figure summaries settlement point collected by cluster code
| sett_lgc | 2025-08-22 | 2025-08-23 | 2025-08-24 | 2025-08-25 | 2025-08-26 | 2025-08-27 |
|---|---|---|---|---|---|---|
| lgc1 | 11 | 72 | 28 | 57 | 24 | 50 |
| lgc2 | 5 | 60 | 15 | 53 | 25 | 16 |
| lgc3 | 23 | 0 | 69 | 50 | 14 | |
| lgc4 | 0 | 1 | 0 | 11 | 0 | 16 |
| lgc5 | 0 | 0 | 0 | 0 | 1 |
Total count of submissions count by settlement by urban/rural classification
- The below figure summaries settlement count by urban rural classification
Total count of submissions count by settlement type
- The below figure summaries settlement count by settlement type
Total count of submissions count by settlement transportation
- The below figure summaries settlement count by settlement type
***
Quality Check
Naming/spelling sanity check summary
The figure below summaries naming or spelling check of settlement names
There are 0 settlement points that have no name
There are 486 settlement points that have a comment
There are 115 settlement points that have an alternative name
There are 0 settlement points that have a name shorter than 2 character
There are 51 settlement points that have special characters in their name
There are 0 settlement points that have a name consist of only numeric characters
FLAGS
- flag1 :Distance between start and end the data collection
- flag2 : Time difference between start and end the data collection
- flag3 : Duplicated records
- flag4 : Points that are out of settlement extents
- flag5 : Points outside of GRID3 ward boundary
- flag6 : Spatially overlapped points
- flag7 : Spatially clustered points in 50 meters
- flag8 : Spatially clustered points in 100 meters
Summary of flags by LGA
| lga | flag1 | flag2 | flag3 | flag4 | flag5 | flag6 | flag7 | flag8 | attribute_flags_total |
|---|---|---|---|---|---|---|---|---|---|
| Brass | 0 | 6 | 2 | 18 | 32 | 0 | 92 | 84 | 228 |
| Ekeremor | 0 | 9 | 2 | 4 | 12 | 0 | 29 | 29 | 76 |
| Kolokuma Opokuma | 0 | 4 | 4 | 0 | 2 | 0 | 45 | 45 | 96 |
| Nembe | 0 | 1 | 0 | 0 | 3 | 0 | 48 | 23 | 74 |
| Ogbia | 0 | 28 | 0 | 1 | 0 | 0 | 91 | 72 | 164 |
| Sagbama | 0 | 1 | 0 | 2 | 1 | 0 | 80 | 66 | 149 |
| Southern Ijaw | 0 | 3 | 2 | 9 | 29 | 0 | 68 | 56 | 164 |
| Yenegoa | 0 | 23 | 0 | 1 | 1 | 2 | 128 | 116 | 248 |
Flag-1 : Distance between back-end and taken GPS coordinates
- The figure below summaries distance between back-end GPS coordinates and GPS coordinate taken by mapper
Flag-2 : Time difference between back-end start and end time spam
- The figure below summaries time difference between staring and finishing filling the form
Flag-3 : The same settlement name given to multiple locations
- The figure below summaries duplicates settlement names
Map of duplicated settlement points
- The lines connects points with the same settlement names in the same ward
Flag-4 : Settlement points outside of settlement extent
- The figure below summarizes the settlements by settlement extent type in which the settlements are located. Out of a settlement indicates the settlements do not fall/near in a settlement extent by more than 150m.
Map of settlement points that fall outside of a settlement extent
Flag-5 :Settlement points outside of respective GRID3 ward boundary**
- The figure below summarizes whether settlement points fall into their respective ward boundaries.The ward names from the settlement points are compared to the ward names from which the points fall in. Grid3 ward boundary is used.
Maps of settlement points that fall outside of respective ward boundary
Flag-6 :Spatially overlap settlement points
- The figure below summarizes settlement points that are spatially duplicated. These settlements have identical geospatial locations.
Map of settlement points that spatially overlapped
Flag-7 : Settlement points clustered in 50m and 100m distance
- The figure below summaries if settlement locations have distance less than 50m or 100m to each other.
Map of settlement points that have less than 100 meters between each other
Quality check summary
Health Facilities
Field collected health facility locations:
- The map below shows field collected health facility locations. health facility are color coded based on ward attribute. Click on boundaries to see ward and lga names. Click on points to see health facility name.
Summary
Number of health facility visited
- The figures below summaries the number of health facility visited to the date that the data was processed.
Number of health facility visited by LGA
- The figure below summaries the number of health facility visited to the date that the data was processed at LGA level
| LGA | collected_from_list | collected_from_list_prc | not_collected_from_list | not_collected_from_list_prc | collected_other |
|---|---|---|---|---|---|
| Brass | 5 | 15.15 | 28 | 84.85 | 6 |
| Ekeremor | 2 | 9.52 | 19 | 90.48 | 4 |
| Kolokuma Opokuma | 5 | 55.56 | 4 | 44.44 | 3 |
| Nembe | 16.67 | 25 | 83.33 | 2 | |
| Ogbia | 7 | 46.67 | 8 | 53.33 | 7 |
| Sagbama | 8 | 34.78 | 15 | 65.22 | 10 |
| Southern Ijaw | 1 | 2.27 | 43 | 97.73 | 5 |
| Yenegoa | 46 | 64.79 | 25 | 35.21 | 8 |
Total count of submissions by date
- The figure below summaries the number of health facility points collected by date
Total count of submissions at LGA level by date
- The figure below summaries the number of health facility points collected by date at LGA level
| lga | 2025-08-22 | 2025-08-23 | 2025-08-24 | 2025-08-25 | 2025-08-26 | 2025-08-27 |
|---|---|---|---|---|---|---|
| Brass | 0 | 0 | 0 | 2 | 5 | 4 |
| Ekeremor | 3 | 1 | 1 | 0 | 1 | |
| Kolokuma Opokuma | 3 | 3 | 2 | 0 | 0 | |
| Nembe | 1 | 3 | 0 | 3 | 0 | 0 |
| Ogbia | 0 | 7 | 1 | 4 | 1 | 1 |
| Sagbama | 6 | 0 | 8 | 1 | 3 | |
| Southern Ijaw | 1 | 0 | 3 | 1 | 1 | |
| Yenegoa | 6 | 13 | 0 | 4 | 14 | 17 |
Total count of submissions at cluster level by date
- The below figure summaries health facility points collected by cluster code
| hf_lgc | 2025-08-22 | 2025-08-23 | 2025-08-24 | 2025-08-25 | 2025-08-26 | 2025-08-27 |
|---|---|---|---|---|---|---|
| lgc1 | 1 | 15 | 2 | 12 | 5 | 5 |
| lgc2 | NA | 6 | 3 | 9 | 4 | 3 |
| lgc3 | 5 | NA | 5 | 7 | 18 | |
| lgc4 | 3 | 10 | NA | 1 | 6 | 1 |
| lgc5 | NA | NA | NA | NA | NA |
Total count of submissions count by health facility category classification
- The below figure summaries health facility count by Ownership classification
Total count of submissions count by health facility functional status
- The below figure summaries health facility count by functional status
Total count of submissions count by health facility type
- The below figure summaries health facility count by health facility type
Quality Check
Naming/spelling sanity check summary
The figure below summaries naming or spelling check of health facility names
There are 0 health facility points that have no name
There are 86 health facility points that have a comment
There are 0 health facility points that have a name shorter than 2 character
There are 10 health facility points that have special characters in their name
There are 0 health facility points that have a name consist of only numeric characters
FLAGS
- flag1 :Distance between start and end the data collection
- flag2 : Time difference between start and end the data collection
- flag3 : Duplicated records
- flag4 : Points that are out of settlement extents
- flag5 : Points outside of GRID3 ward boundary
- flag6 : Spatially overlapped points
- flag7 : Spatially clustered points in 50 meters
- flag8 : Spatially clustered points in 100 meters
Summary of flags by LGA
| lga | flag1 | flag2 | flag3 | flag4 | flag5 | flag6 | flag7 | attribute_flags_total |
|---|---|---|---|---|---|---|---|---|
| Brass | 0 | 1 | 0 | 0 | 2 | 0 | 11 | 13 |
| Ekeremor | 0 | 1 | 0 | 0 | 1 | 0 | 6 | 7 |
| Kolokuma Opokuma | 0 | 3 | 0 | 0 | 0 | 0 | 8 | 8 |
| Nembe | 0 | 0 | 0 | 0 | 3 | 0 | 7 | 10 |
| Ogbia | 0 | 6 | 0 | 0 | 0 | 0 | 14 | 14 |
| Sagbama | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 18 |
| Southern Ijaw | 0 | 0 | 0 | 0 | 3 | 0 | 6 | 9 |
| Yenegoa | 0 | 5 | 2 | 0 | 0 | 6 | 27 | 35 |
Flag-1 : Distance between back-end and taken GPS coordinates
- The figure below summaries distance between back-end GPS coordinates and GPS coordinate taken by mapper
Flag-2 : Time difference between back-end start and end time spam
- The figure below summaries time difference between staring and finishing filling the form
Flag-3 : The same health facility name given to multiple locations
- The figure below summaries duplicates health facility names
Map of duplicated health facility points
- The lines connects points with the same health facility names in the same ward
Flag-4 : Health facility points outside of settlement extent
- The figure below summarizes the health facilities by settlement extent type in which the health facility are located. Out of a settlement indicates the health facility do not fall/near in a settlement extent by more than 150m.
Map of health facility points that fall outside of a settlement extent
## [1] "All health facility points fall on/near settlement extent"Flag-5 :Health faclity points outside of respective GRID3 ward boundary**
- The figure below summarizes whether health facility points fall into their respective ward boundaries.The ward names from the health facility points are compared to the ward names from which the points fall in. Grid3 ward boundary is used.
Maps of health facility points that fall outside of respective ward boundary
Flag-6 :Spatially overlap health facility points
- The figure below summarizes health facility points that are spatially duplicated. These settlements have identical geospatial locations.
Map of health facility points that spatially overlapped
Flag-7 : Health facility points clustered in 50m and 100m distance
- The figure below summaries if health facility locations have distance less than 50m or 100m to each other.
Map of health facility points that have less than 100 meters between each other
Quality check summary
Point of Interests(PoI)
Field collected PoI locations:
- The map below shows field collected PoI locations. PoI locations are color coded based on ward attribute. Click on boundaries to see ward and lga names. Click on points to see PoI names.
Summary
Total count of submissions by date
- The figure below summaries the number of PoI points collected by date
Total count of submissions at LGA level by date
- The figure below summaries the number of PoI points collected by date at LGA level
| lga | 2025-08-22 | 2025-08-23 | 2025-08-24 | 2025-08-25 | 2025-08-26 | 2025-08-27 |
|---|---|---|---|---|---|---|
| Brass | 0 | 0 | 0 | 15 | 18 | 10 |
| Ekeremor | 4 | 3 | 3 | 0 | 1 | |
| Kolokuma Opokuma | 17 | 8 | 11 | 0 | 0 | |
| Nembe | 6 | 15 | 0 | 4 | 0 | 0 |
| Ogbia | 0 | 28 | 8 | 34 | 12 | 0 |
| Sagbama | 18 | 0 | 33 | 1 | 14 | |
| Southern Ijaw | 1 | 0 | 7 | 0 | 3 | |
| Yenegoa | 14 | 22 | 0 | 39 | 21 | 5 |
Total count of submissions at cluster level by date
- The below figure summaries PoI points collected by cluster code
| poi_lcd | 2025-08-22 | 2025-08-23 | 2025-08-24 | 2025-08-25 | 2025-08-26 | 2025-08-27 |
|---|---|---|---|---|---|---|
| lgc1 | 10 | 48 | 7 | 47 | 16 | 14 |
| lgc2 | 6 | 42 | 12 | 45 | 2 | 10 |
| lgc3 | 4 | 14 | NA | 48 | 34 | 8 |
| lgc4 | NA | 1 | NA | 6 | NA | 1 |
Total count of submissions count by PoI type
- The below figure summaries PoI count by PoI type
